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Were genome‐wide linkage studies a waste of time? Exploiting candidate regions within genome‐wide association studies by Yun J. Yoo; Shelley B. Bull; Andrew D. Paterson; Daryl Waggott; Lei Sun is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

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## Abstract A central issue in genome‐wide association (GWA) studies is assessing statistical significance while adjusting for multiple hypothesis testing. An equally important question is the statistical efficiency of the GWA design as compared to the traditional sequential approach in which genome‐wide linkage analysis is followed by region‐wise association mapping. Nevertheless, GWA is becoming more popular due in part to cost efficiency: commercially available 1M chips are nearly as inexpensive as a custom‐designed 10 K chip. It is becoming apparent, however, that most of the on‐going GWA studies with 2,000–5,000 samples are in fact underpowered. As a means to improve power, we emphasize the importance of utilizing prior information such as results of previous linkage studies via a stratified false discovery rate (FDR) control. The essence of the stratified FDR control is to __prioritize__ the genome and maintain power to interrogate candidate regions __within__ the GWA study. These candidate regions can be defined as, but are by no means limited to, linkage‐peak regions. Furthermore, we theoretically __unify__ the stratified FDR approach and the weighted __P__‐value method, an

Who reads Were genome‐wide linkage studies a waste of time? Exploiting candidate regions within genome‐wide association studies?

Author

Yun J. Yoo; Shelley B. Bull; Andrew D. Paterson; Daryl Waggott; Lei Sun

Publisher

John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Inc.; Wiley (ISSN 0741-0395)

Published

2009

Language

EN

Field

Biochemistry, Genetics and Molecular Biology (Life Sciences)